Structured decision support to prevent hospitalisations of community-dwelling older adults in Denmark (PATINA): an open-label, stepped-wedge, cluster-randomised controlled trial
Authors: Anders Fournaise, Jørgen T Lauridsen, Søren K Nissen, Claire Gudex, Mickael Bech, Anna Mejldal, Uffe K Wiil, Jesper B Rasmussen, Kristian Kidholm, Lars Matzen, Kurt Espersen, Karen Andersen-Ranberg
Journal: The Lancet Healthy Longevity (2023)

BackgroundAgeing populations and health-care staff shortages encourage efforts in primary care to recognise and prevent health deterioration and acute hospitalisation in community-dwelling older adults. The PATINA algorithm and decision-support tool alerts home-based-care nurses to older adults at risk of hospitalisation. The study aim was to test whether use of the PATINA tool was associated with changes in health-care use.MethodsAn open-label, stepped-wedge, cluster-randomised controlled trial was done in three Danish municipalities, covering 20 area teams providing home-based care to around 7000 recipients. During a period of 12 months, area teams were randomly assigned to an intervention crossover for older adults (aged 65 years or older) who received care at home. The primary outcome was hospitalisation within 30 days of identification by the algorithm as being at risk of hospitalisation. Secondary outcomes were hospital readmission and other hospital contacts, outpatient contacts, contact with primary care physicians (PCPs), temporary care, and death, within 30 days of identification. This study was registered at ClinicalTrials.gov (NTC04398797).FindingsIn total, 2464 older adults participated in the study: 1216 (49·4%) in the control phase and 1248 (50·6%) in the intervention phase. In the control phase, 102 individuals were hospitalised within 30 days during 33 943 days of risk (incidence 0·09 per 30 days), compared with 118 individuals within 34 843 days of risk (0·10 per 30 days) during the intervention phase. The intervention was not associated with a reduction in the number of first hospitalisations within 30 days (incidence rate ratio [IRR] 1·10 [90% CI 0·90–1·40]; p=0·28). Furthermore it was not associated with reduced rates of other hospital contacts (IRR 1·10 [95% CI 0·90–1·40]; p=0·28), outpatient contacts (1·10 [0·88–1·40]; p=0·42), or mortality (0·82 [0·58–1·20]; p=0·25). The intervention was associated with a 59% reduction in readmissions within 30 days of hospital discharge (IRR 0·41 [95% CI 0·24–0·68]; p=0·0007), a 140% increase in contacts with PCPs (2·40 [1·18–3·20]; p<0·0001), and a 150% increase in use of temporary care (2·50 [1·40–4·70]; p=0·0027).InterpretationDespite having no effect on the primary outcome, the PATINA tool showed other benefits for older adults receiving home-based care. Such algorithms have the potential to shift health-care use from secondary to primary care but need to be tested in other home-based care settings. Implementation of algorithms in clinical practice should be informed by analysis of cost-effectiveness and potential harms as well as the benefits.FundingInnovation Fund Denmark and Region of Southern Denmark.TranslationsFor the Danish, French and German translations of the abstract see Supplementary Materials section.